Apparatus and Method for Processing Spectrum

Abstract

A spectrum y includes a waveform-of-interest component and a baseline component serving as a wide-band component. An optimum solution of a signal model x is determined according to a first condition to fit a corresponding portion SIFx of a baseline model Fx with respect to a representative portion yI of the baseline component, and a second condition to minimize an Lp norm (wherein p≤1) of the signal model x. An estimated baseline component determined from the optimum solution of the signal model x is subtracted from the spectrum y.

Description

CROSS-REFERENCE TO RELATED APPLICATION[0001]This application claims priority to Japanese Patent Application No. 2018-003522 filed Jan. 12, 2018, the disclosure of which is hereby incorporated in its entirety by reference.BACKGROUNDField of the Invention[0002]The present disclosure relates to an apparatus and a method for processing a spectrum, and in particular to estimation of a baseline component.Description of Related Art[0003]As a spectrum to be a target of a spectrum analysis, there are known an NMR (Nuclear Magnetic Resonance) spectrum, an X-ray spectrum, a spectroscopic spectrum, a mass spectrum, and the like. In general, a spectrum includes a waveform-of-interest component and a baseline component. The waveform-of-interest component is, for example, a portion including one or a plurality of peaks, and is the primary analysis target. On the other hand, the baseline component is a component which is not the primary analysis target, and is a component which exists over a wide b...

AI Technical Summary

Benefits of technology

This patent relates to a method for accurately estimating the baseline component of a spectrum, while minimizing the impact on the user. The baseline component is a sparse signal in a separate space that affects the spectrum. The method uses the Lp norm to prioritize fitting to the baseline component over other components. By selecting a representative portion in the baseline component and avoiding areas where other components may have significance, the precision of the baseline component can be improved. This method can be used manually or automatically.

Problems solved by technology

However, an operation to suitably select a function defining the model and to give suitable parameters for the function normally causes a heavy burden for a user.

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